Varun Tolani

University of California, Berkeley, Berkeley College

Papers

Total Citations

317

H-Index

About

Varun Tolani is a robotics and artificial intelligence researcher whose work sits at the intersection of visual navigation, cognitive mapping, and optimal control. His research focuses on enabling robots and autonomous agents to navigate complex, previously unseen environments — including those populated by humans — using a blend of learning-based perception and model-based planning strategies. Tolani's most influential contribution, "Cognitive Mapping and Planning for Visual Navigation" (2019), has garnered an impressive 218 citations, reflecting its significant impact on the autonomous navigation community. This work addresses how agents can build internal spatial representations to plan effective routes through unfamiliar surroundings. Building on this foundation, his 2019 paper "Combining Optimal Control and Learning for Visual Navigation in Novel Environments" (96 citations) tackled the practical challenge of deploying model-based methods when environmental knowledge is incomplete, offering a hybrid framework that marries the efficiency of optimal control with the adaptability of learned models. His 2021 work on navigating among humans introduced supervisory optimal control to anticipate pedestrian motion, pushing autonomous navigation closer to real-world deployment. Collectively, Tolani's research advances a critical frontier in robotics: building agents that can see, reason, plan, and safely coexist with people in dynamic, unpredictable environments.